A5043005198- Electronic Health Records Systems
- Healthcare Systems and Technology
- Healthcare Operations and Scheduling Optimization
- Medical Coding and Health Information
- Parallel Computing and Optimization Techniques
- Clinical practice guidelines implementation
- Distributed and Parallel Computing Systems
- Digital Imaging in Medicine
- Telemedicine and Telehealth Implementation
- Biomedical Text Mining and Ontologies
- Retinal Imaging and Analysis
- Patient Satisfaction in Healthcare
- Ophthalmology and Visual Health Research
- Advanced Data Storage Technologies
- Healthcare Policy and Management
- Glaucoma and retinal disorders
- Health Sciences Research and Education
- Embedded Systems Design Techniques
- Advances in Oncology and Radiotherapy
- Advanced Radiotherapy Techniques
- Data-Driven Disease Surveillance
- Retinal and Optic Conditions
- Primary Care and Health Outcomes
- Machine Learning in Healthcare
- Empathy and Medical Education
Oregon Health & Science University
2016-2025
National Eye Institute
2023-2025
National Institutes of Health
2023-2025
University of Portland
2018-2024
Institute for Medical Informatics and Biostatistics
2016-2021
Children's Hospital of Los Angeles
2019
Oregon Health and Science University Hospital
2019
Pacific University
2001-2005
Pacific University Oregon
2001
Ames Research Center
1998
Electronic health record (EHR) log data have shown promise in measuring physician time spent on clinical activities, contributing to deeper understanding and further optimization of the environment. In this article, we propose 7 core measures EHR use that reflect multiple dimensions practice efficiency: total time, work outside work, documentation, prescriptions, inbox teamwork for orders, an aspirational measure amount undivided attention patients receive from their physicians during...
<h3>Importance</h3> There is widespread concern that clinical notes have grown longer and less informative over the past decade. Addressing these concerns requires a better understanding of magnitude, scope, potential causes increased note length redundancy. <h3>Objective</h3> To measure changes between 2009 2018 in redundancy outpatient progress across multiple medical specialties investigate how measures associate with author experience method entry. <h3>Design, Setting, Participants</h3>...
Electronic health record (EHR) systems have transformed the practice of medicine. However, physicians raised concerns that EHR time requirements negatively affected their productivity. Meanwhile, evolving approaches toward physician reimbursement will require additional documentation to measure quality and cost care. To date, little quantitative analysis has rigorously studied these topics.To examine ophthalmologist for use.A single-center cohort study was conducted between September 1,...
Abstract Objective Outpatient clinics lack guidance for tackling modern efficiency and productivity demands. Workflow studies require large amounts of timing data that are prohibitively expensive to collect through observation or tracking devices. Electronic health records (EHRs) contain a vast amount – timestamps collected during regular use can be mapped workflow steps. This study validates using EHR timestamp predict outpatient ophthalmology clinic timings at Oregon Health Science...
A) To characterize the incidence of kidney failure associated with intravitreal anti-vascular endothelial growth factor (VEGF) exposure, and B) compare risk in patients treated ranibizumab, aflibercept, or bevacizumab. Retrospective cohort study across 12 databases Observational Health Data Sciences Informatics (OHDSI) network. Subjects aged ≥18 years ≥3 monthly anti-VEGF medications for a blinding disease (diabetic retinopathy, diabetic macular edema, exudative age-related degeneration,...
Abstract Electronic health record (EHR) log data capture clinical workflows and are a rich source of information to understand variation in practice patterns. Variation how EHRs used document support care delivery is associated with operational outcomes, including measures provider well-being burnout. Standardized that describe EHR use would facilitate generalizability cross-institution, cross-vendor research. Here, we the current state outpatient offered by various vendors, guided our prior...
Evaluate the degree of concept coverage general eye examination in one widely used electronic health record (EHR) system using Observational Health Data Sciences and Informatics Medical Outcomes Partnership (OMOP) common data model (CDM).
Abstract Introduction Research on how people interact with electronic health records (EHRs) increasingly involves the analysis of metadata EHR use. These can be recorded unobtrusively and capture use at a scale unattainable through direct observation or self-reports. However, there is substantial variation in are recorded, analyzed described, limiting understanding, replication, synthesis across studies. Recommendations In this perspective, we provide guidance to those working by describing...
Clinical guidelines recommend a personalized approach to mammography screening for women in their forties; however, methods do so are lacking. An evidence-based decision aid was developed as an electronic mobile application and evaluated before-after study.The (Mammopad) included modules on breast cancer, mammography, risk assessment, priority setting about screening. Women aged 40-49 years who were patients of rural primary care clinics, had no major factors during the previous year invited...
Abstract Objective Surgical outcome prediction is challenging but necessary for postoperative management. Current machine learning models utilize pre- and post-op data, excluding intraoperative information in surgical notes. also usually predict binary outcomes even when surgeries have multiple that require different This study addresses these gaps by incorporating into multimodal multiclass glaucoma surgery prediction. Materials methods We developed evaluated deep trabeculectomy using both...
This Viewpoint discusses how the Observational Health Data Sciences and Informatics community’s health data network supports biomedical research in ophthalmology by providing access to a large, standardized dataset.
Precis: In this multi-institutional effort, we identified gaps in SAP data elements within medical terminologies. We proposed new concepts to LOINC enhance standards and big representation improve interoperability across healthcare systems. Purpose: To identify the of Standard Automated Perimetry (SAP) Logical Observation Identifiers Names Codes (LOINC) Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM) propose solutions for those gaps. Methods: source Digital Imaging...
Recent changes to billing policy have reduced documentation requirements for outpatient notes, providing an opportunity rethink workflows. While many providers use templates write notes-whether insert short phrases or draft entire notes-we know surprisingly little about how these are used in practice. In this retrospective cross-sectional study, we observed the that primary and other members of care team provider progress note 2.5 million visits across 52 specialties at academic health...
Physicians face pressure to improve clinical efficiency, particularly with electronic health record (EHR) adoption and gradual shifts toward value-based reimbursement models. These pressures are especially pronounced in academic medical centers, where delivery of care must be balanced education. However, the association presence trainees efficiency outpatient ophthalmology clinics is not known.To quantify (residents fellows) an clinic.This single-center cohort study was conducted from...